We study the implications of the value at risk concept for the bank's optimum amount of equity capital under credit risk. The market value of loans is risky and lognormally distributed. We show that the required equity capital depends upon managerial and market factors. Furthermore, the bank's...

Banks typically determine their capital levels by separately analysing credit and interest rate risk, but the interaction between the two is significant and potentially complex. We develop an integrated economic capital model for a banking book where all exposures are held to maturity. Our...

Die Messung und Bewertung von Kreditrisiken stellt sich aktuell als ein sehr bedeutsames (Stichworte : Basel II, Solvency II, Kreditderivate) Gebiet dar. Allerdings hat sich hierbei keine einheitliche Vorgehensweise herausgebildet, sondern es existieren eine Vielzahl unterschiedlicher...

The papers in this special issue of Mathematics and Computers in Simulation are substantially revised versions of the papers that were presented at the 2011 Madrid International Conference on “Risk Modelling and Management” (RMM2011). The papers cover the following topics: currency hedging...

This paper focuses on how to calibrate models used to stress test the most important risks in the banking system. Based on the results of a verification of the Czech National Bank's stress testing methodology, the paper argues that stress tests should be calibrated conservatively and slightly...

One of the biggest risks arising from financial operations is the risk of counterparty default, commonly known as a credit risk. Leaving unmanaged, the credit risk would, with a high probability, result in a crash of a bank. In our paper, we will focus on the credit risk quantification...

The goal of the Basle II regulatory formula is to model the unexpected loss on a loan portfolio. The regulatory formula is based on an asymptotic portfolio unexpected default rate estimation that is multiplied by an estimate of the loss given default parameter. This simplification leads to a...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The paper proposes a new method to estimate correlation of account level Basle II Loss Given Default (LGD). The correlation determines the probability distribution of portfolio level LGD in the context of a copula model which is used to stress the LGD parameter as well as to estimate the LGD...

This study aims to analyse the sensitivity of capital requirements to changes in risk parameters (PD, LGD and M) by creating a model bank with a portfolio mirroring the average asset composition of internationally active large banks, as well as locally oriented smaller institutions participating...